Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

OBJECTIVES: To investigate the molecular mechanism by which He's Yangchao Decoction (HSYC) improves ovarian function in a mouse model of premature ovarian insufficiency (POI). METHODS: Forty ICR mice were used to establish a POI model via intraperitoneal injection of cyclophosphamide and were randomly assigned to four groups: model control group, low-dose HSYC group, high-dose HSYC group, and estradiol group (positive control). Additionally, 10 age-matched ICR mice were selected as the blank control group. After intragastric intervention, the ovarian index, serum follicle-stimulating hormone (FSH) levels, and ovarian tissue expression of the FSH receptor (FSHR) were measured. A POI cell model was established by treating the human granulosa tumor cell line (KGN) with 4-hydroxycyclophosphamide. The cells were divided into four groups: solvent control group, HSYC group, inhibitor control group, and inhibitor+HSYC group, which were respectively treated with TH5487 (an OGG1 inhibitor) and HSYC-containing serum. The expressions of OGG1, mitochondrial DNA (mtDNA) oxidative damage markers, and pyroptosis-related proteins were detected by molecular docking, Western blotting, and immunofluorescence. RESULTS: Compared with the blank control group, the model control group showed a decreased ovarian index (P<0.05) and increased serum FSH levels (P<0.01). The ovarian index was higher in both the low- and high-dose HSYC groups compared with the model control group (both P<0.05). FSHR expression in ovarian tissue was lower in the model control group than that in the blank control group, but was higher in the high-dose HSYC group compared with the model control group (P<0.05 or P<0.01). Molecular docking confirmed strong binding affinity between the active components of HSYC and OGG1 (binding energy: －6.3 to －8.3 kcal/mol). Western blotting analysis revealed that OGG1 protein expression in the ovaries of the model control group was significantly reduced compared with the blank control group, while it was increased in the low-dose HSYC group and the estradiol group (P<0.05 or P<0.01). Immunofluorescence results demonstrated that the expression levels of mito-chondrial transcription factor A (TFAM) and peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) were decreased in the model control group compared with the blank control group (P<0.01), whereas their expressions were significantly elevated in the high-dose HSYC group and the estradiol group (all P<0.01). Cell experiments showed that TH5487 intervention increased the expression of 8-oxoguanine (8-OxoG) (P<0.01), while HSYC-containing serum intervention reduced 8-OxoG expression and increased TFAM expression (P<0.01). The expression of pyroptosis-related proteins (GSDMD, N-GSDMD, caspase-1, IL-1β) increased after TH5487 intervention (P<0.05), whereas HSYC-containing serum suppressed their expression (all P<0.05). CONCLUSIONS HSYC improves POI by upregulating OGG1 expression, mitigating mtDNA oxidative damage, and inhibiting granulosa cell pyroptosis.

Clinical chemotherapy for prostate cancer is still compromised by high treatment thresholds and severe off-target toxicity of drugs. Given the limited progress in improving therapeutic outcomes and reducing toxicity with the existing toolbox, efforts to broaden the chemotherapeutic window are highly desired. Here, we discover that gossypol (GSP, a natural compound) dramatically enhances the chemosensitivity of cabazitaxel (CTX), even at previously ineffective concentrations. Based on this interesting finding, we exploit a carrier-free chemotherapeutic nano-booster for prostate cancer treatment, which is molecularly co-assembled by GSP and cabazitaxel (CTX). GSP not only readily forms nanoassembly with CTX, but also functions as a chemotherapeutic enhancer that unlocks an ultra-low-dose chemotherapeutic window. Not only that, precise dual-drug nanoassembly confers CTX a significantly larger maximum tolerable dose. As expected, the nano-booster exerts striking therapeutic benefits in mouse prostate tumor xenograft models. This study advances chemotherapeutic window expansion and self-sensitized chemotherapy toward clinical applicability.

Glioma represents the most prevalent malignant tumor of the central nervous system, with chemotherapy serving as an essential adjunctive treatment. However, most chemotherapeutic agents exhibit limited ability to penetrate the blood-brain barrier (BBB). This study introduced a novel dual-targeting strategy for glioma therapy by modulating the formation of nanobody-driven protein coronas to enhance the brain and tumor-targeting efficiency of hydrophobic cisplatin prodrug-loaded lipid nanoparticles (C8Pt-Ls). Specifically, nanobodies (Nbs) with fibrinogen-binding capabilities were conjugated to the surface of C8Pt-Ls, resulting in the generation of Nb-C8Pt-Ls. Within the bloodstream, Nb-C8Pt-Ls could bound more fibrinogen, forming the protein corona that specifically interacted with LRP-1, a receptor highly expressed on the BBB. This interaction enabled a "Hitchhiking Effect" mechanism, facilitating efficient trans-BBB transport and promoting effective brain targeting. Additionally, the protein corona interacted with LRP-1, which is also overexpressed in glioma cells, achieving precise tumor targeting. Computational simulations and SPR detection clarified the molecular interaction mechanism of the Nb-fibrinogen-(LRP-1) complex, confirming its binding specificity and stability. Our results demonstrated that this strategy significantly enhanced C8Pt accumulation in brain tissues and tumors, induced apoptosis in glioma cells, and improved therapeutic efficacy. This study provides a novel framework for glioma therapy and underscores the potential of protein corona modulation-based dual-targeting strategies in advancing treatments for brain tumors.

The paper discusses the scientific connotation of"heart and brain co-dominating the mind",including the connotation of"heart and brain co-dominating the mind"in traditional Chinese medicine and the physiological and pathological relationship be-tween heart and brain in modern medicine.Based on the understanding of"heart and brain co-dominating the mind",this paper be-lieves that"restlessness of mind"is the core pathogenesis of insomnia,and regulating mind is the key to the acupuncture and moxibus-tion treatment of insomnia.The autonomic nervous system(ANS)is a bridge connecting the heart and brain,and is closely related to the central anatomy,neurotransmitters and physiological rhythms of sleep.The imbalance of ANS is highly consistent with the patho-genesis of"heart and brain restlessness"in traditional Chinese medicine.The Governor Vessel runs through the brain and the heart,and the"Governor Vessel regulating spirit acupuncture"can communicate the heart and brain,regulate ANS function,and thus im-prove sleep quality.

Virtual avatar possesses unique advantages such as high degree of realism,immersion and visualization,and the research on applying it to the assessment and treatment of anorexia nervosa is increasing year by year.In terms of assessment,there are mainly avatar versions of the figure rating scales,yes-no tasks and its variations,method of adjustment,and the use of virtual cylinder technique.In terms of treatment,there are mainly intervention methods based on virtual avatar exposure therapy,body swapping illusions,perceptual/attention training and self-empowerment,as well as some new potential interventions.Overall,the current research around anorexia nervosa using virtual avatar techniques is still in its early stages and there is still a lot of room for further exploration.

Objective To explore the time-varying characteristics and correlation degree of autonomous rehabili-tation behavior and related symptoms of middle-aged stroke patients,and to provide a basis for clinical transitional nursing and precise rehabilitation.Methods Ecological momentary assessment was used to select 57 middle-aged stroke patients who underwent rehabilitation treatment in the Rehabilitation Medicine Department of a tertiary com-prehensive hospital in Wuhan from March 15 to August 30,2024,using convenience sampling method.Their au-tonomous rehabilitation behavior and related symptoms(fatigue,pain,emotion,sensation)were continuously monitored for 2 weeks.A hierarchical linear model was used to analyze the correlation between behavior and symptoms.Results The autonomous rehabilitation behavior of middle-aged stroke patients showed a fluctuating increasing trend,and the symptom score showed a slow decreasing trend.The hierarchical linear model showed that compared with female patients,male patients have longer duration of autonomous rehabilitation behavior(P＜0.05).The number and duration of autonomous rehabilitation behaviors in patients without fatigue were higher(P＜0.05).The number of autonomous rehabilitation behaviors in patients without pain was higher than that in patients with pain(P＜0.05).The number of autonomous rehabilitation behavior items among patients who perceived more pleasure in rehabilitation was higher than that among patients with greater difficulty in rehabilitation challenges(P＜0.05).Patients with high rehabilitation confidence have higher numbers and duration of autonomous rehabilitation behaviors compared to pa-tients with low rehabilitation confidence(P＜0.05).Conclusion There are significant individual differences and dy-namic changes in the autonomous rehabilitation behavior and related symptoms of middle-aged stroke patients.Nurs-ing staff should accurately implement personalized rehabilitation services during the transition period,enhance pa-tients'autonomy and self-management ability in home-based rehabilitation,in order to improve the overall rehabilita-tion effect.

The paper discusses the scientific connotation of"heart and brain co-dominating the mind",including the connotation of"heart and brain co-dominating the mind"in traditional Chinese medicine and the physiological and pathological relationship be-tween heart and brain in modern medicine.Based on the understanding of"heart and brain co-dominating the mind",this paper be-lieves that"restlessness of mind"is the core pathogenesis of insomnia,and regulating mind is the key to the acupuncture and moxibus-tion treatment of insomnia.The autonomic nervous system(ANS)is a bridge connecting the heart and brain,and is closely related to the central anatomy,neurotransmitters and physiological rhythms of sleep.The imbalance of ANS is highly consistent with the patho-genesis of"heart and brain restlessness"in traditional Chinese medicine.The Governor Vessel runs through the brain and the heart,and the"Governor Vessel regulating spirit acupuncture"can communicate the heart and brain,regulate ANS function,and thus im-prove sleep quality.

Virtual avatar possesses unique advantages such as high degree of realism,immersion and visualization,and the research on applying it to the assessment and treatment of anorexia nervosa is increasing year by year.In terms of assessment,there are mainly avatar versions of the figure rating scales,yes-no tasks and its variations,method of adjustment,and the use of virtual cylinder technique.In terms of treatment,there are mainly intervention methods based on virtual avatar exposure therapy,body swapping illusions,perceptual/attention training and self-empowerment,as well as some new potential interventions.Overall,the current research around anorexia nervosa using virtual avatar techniques is still in its early stages and there is still a lot of room for further exploration.

Objective:To investigate the predictive value of tumor morphology in hepatoce-llular carcinoma (HCC) immunotherapy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinical data of 227 HCC patients who underwent immunotherapy in The First Affiliated Hospital of University of Science and Technology of China from January 2021 to December 2023 were collected. There were 203 males and 24 females, aged (57±11)years. Of the 227 patients, 93 patients with regular tumor morphology of HCC evaluated by computed tomography (CT) or magnetic resonance imaging (MRI) were divided into the regular morphology group, and 134 patients with irregular tumor morphology of HCC evaluated by CT or MRI were divided into the irregular morphology group. Observation indicators: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) analysis of factors affecting prognosis of patients; (3) prognosis of patients after propensity score matching. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve. The Log-rank test was used for survival analysis. The Cox proportional hazards regression model was used for univariate and multivariate analyses. Propensity score matching was done by the 1∶1 nearest neighbor matching method, with a caliper value of 0.02. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of 227 HCC patients undergoing immunotherapy, 164 cases were successfully matched, including 82 cases in the regular morphology group and 82 cases in the irregular morphology group. After propensity score matching, the elimination of patients who underwent radical surgical resection in the past, tumor number and alpha fetoprotein confounding bias ensured comparability between the two groups. (2) Analysis of factors affecting prognosis of patients. Results of multivariate analysis showed that body mass index ≥25 kg/m 2 and irregular tumor morphology were independent risk factors affecting overall survival time of patients ( hazard ratio=0.891, 1.870, 95% confidence interval as 0.825-0.963, 1.151-3.038, P<0.05). (3) Prognosis of patients after propensity score matching. After propensity score matching, the median progression-free survival time was 11.9(95% confidence interval as 9.2-16.1)months for patients in the regular tumor morphology group and 6.4(95% confidence interval as 4.4-8.1)months for patients in the irregular tumor morphology group, the 1-year progress-free survival rate was 48.48% for patients in the regular tumor morphology group and 22.25% for patients in the irregular tumor morphology group. There was a significant difference in progress-free survival between patients in the regular tumor morphology group and the irregular tumor morphology group ( χ2=16.000, P<0.05). The median overall survival time was 27.2(95% confidence interval as 23.7-not reached)months for patients in the regular tumor morphology group and 18.1 (95% confidence interval as 15.8-20.8)months for patients in the regular tumor morphology group, the 1-year overall survival rate was 83.27% for patients in the regular tumor morphology group and 66.98% for patients in the irregular tumor morphology group. There was a significant difference in overall survival between patients in the regular tumor morphology group and the irregular tumor morphology group ( χ2=13.400, P<0.05). Conclusions:Tumor morphology has a predictive value for the efficacy of immunotherapy for HCC. Compared with HCC patients of regular tumor morphology, immunotherapy is less effective in patients with irregular tumor morphology.